Product

anc

by Brett Davies

Product website
https://anc.dev/
Documentation
https://anc.dev/audit
Categories
Agent Readiness Tools Developer Tools

Description

CLI linter for the agent-native CLI proposal, with a companion website audit service and an MCP interface.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration5/10Trust0/6Portability4/4Security0/4Tier C38/100
Component Raw Weight Contribution
Integration 5/10 35% 17.5
Trust 0/6 30% 0.0
Portability 4/4 20% 20.0
Security 0/4 15% 0.0
Signals that fired
  • Integration: MCP server (+2) ; Command-line interface (+1) ; WebMCP (+1) ; Agent skill (+1)
  • Portability: Open standards (+1) ; Standard protocol access (+1) ; No proprietary-SDK lock-in (+1) ; Self-hostable (+1) ; Open source (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, Headless signup, Agent2Agent (A2A) servers, Native connectors, API specs, Developer kits
  • Trust & data policy: Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Documented provider swap
  • Security & compliance: Compliance certifications, Access controls

Trust & data policy

Open standards
Yes
Standard protocol access
Yes
No proprietary-SDK lock-in
Yes
Self-hostable
Yes
Open source
Yes
Source code
https://github.com/brettdavies/agentnative-cli
Self-hosting guide
https://anc.dev/install

Not yet researched Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Documented provider swap

What it does

Capabilities

  • Agent Readiness Scanning

    Analyze a website or service and report how accessible it is to autonomous AI agents.

    View 4 products

Jobs to be done

  • Audit a website for AI-agent readiness

    Check whether a site exposes the discovery, access, and protocol signals AI agents need.

    View 4 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

WebMCP
Yes

MCP servers

Model Context Protocol endpoints an AI agent can connect to for this product's tools and data.

Command-line interfaces

Agent skills

Packaged skills an agent can load to operate this product.

Not yet researched llms.txt, Headless signup, Agent2Agent (A2A) servers, Native connectors, API specs, Developer kits

Offers

No offers recorded.

Reviews

No approved reviews yet.

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Markdown

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Ready to decide?

Unrated · 38% researched. Grade withheld until more fields are verified.

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